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1 Ergebnisse
1
Selectivity Functions of Range Queries are Learnable:
, In:
Proceedings of the 2022 International Conference on Management of Data
,
Hu, Xiao
;
Liu, Yuxi
;
Xiu, Haibo
... - p. 959-972 , 2022
Link:
https://dl.acm.org/doi/10.1145/3514221.3517896
RT T1 <cTitle>Proceedings of the 2022 International Conference on Management of Data</cTitle>: T1 <Title>Selectivity Functions of Range Queries are Learnable</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3517896&Exemplar=1&LAN=DE A1 Hu, Xiao A1 Liu, Yuxi A1 Xiu, Haibo A1 Agarwal, Pankaj K. A1 Panigrahi, Debmalya A1 Roy, Sudeepa A1 Yang, Jun PB ACM YR 2022 K1 Vapnik-Chervonenkis dimension K1 fat-shattering dimension K1 learning theory K1 range space K1 selectivity estimation K1 Information systems K1 Data management systems K1 Database management system engines K1 Database query processing K1 Theory of computation K1 Theory and algorithms for application domains K1 Database theory K1 Database query processing and optimization (theory) K1 Machine learning theory K1 Sample complexity and generalization bounds SP 959 OP 972 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3514221.3517896 DO https://dl.acm.org/doi/10.1145/3514221.3517896 SF ELIB - SuUB Bremen
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